Patents by Inventor Alireza POURREZA

Alireza POURREZA has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Per-plant aerial image data analytics method and devices
    Patent number: 11915366
    Abstract: The embodiments disclose a method comprising creating 3D models of an orchard with multiple plants in the form of a densified point cloud using oblique aerial RGB imaging and photogrammetry, identifying and segmenting individual plants of the orchard from the 3D models, simulating sunlight radiation in the 3D models, determining a shading effect of branches and neighboring plants on each individual plant at any time of the day, determining canopy light interception of each plant, analyzing canopy geometry of each plant in the 3D models, forecasting potential yield of each plant based on the measured canopy light interception and calculating nitrogen and water requirements of each plant based on the potential yield and other predetermined field, environmental and climate factors and validating the yield forecasting model using the canopy light interception data by measuring the actual yield for each plant.
    Type: Grant
    Filed: April 27, 2021
    Date of Patent: February 27, 2024
    Assignee: The Regents of the University of California
    Inventor: Alireza Pourreza
  • PER-PLANT AERIAL IMAGE DATA ANALYTICS METHOD AND DEVICES
    Publication number: 20220343593
    Abstract: The embodiments disclose a method comprising creating 3D models of an orchard with multiple plants in the form of a densified point cloud using oblique aerial RGB imaging and photogrammetry, identifying and segmenting individual plants of the orchard from the 3D models, simulating sunlight radiation in the 3D models, determining a shading effect of branches and neighboring plants on each individual plant at any time of the day, determining canopy light interception of each plant, analyzing canopy geometry of each plant in the 3D models, forecasting potential yield of each plant based on the measured canopy light interception and calculating nitrogen and water requirements of each plant based on the potential yield and other predetermined field, environmental and climate factors and validating the yield forecasting model using the canopy light interception data by measuring the actual yield for each plant.
    Type: Application
    Filed: April 27, 2021
    Publication date: October 27, 2022
    Applicant: The Regents of the University of California
    Inventor: Alireza Pourreza
  • Method for huanglongbing (HLB) detection
    Patent number: 10408740
    Abstract: A sensing system identifies Huanglongbing (HLB) symptoms in leaves of citrus trees in real time and differentiates them from nutrient deficiencies.
    Type: Grant
    Filed: June 15, 2015
    Date of Patent: September 10, 2019
    Assignees: The State of Israel, Ministry of Agriculture & Rural Development Agricultural Research Organization, UNIVERSITY OF FLORIDA RESEARCH FOUNDATION, INCORPORATED
    Inventors: Eran Raveh, Won Suk Lee, Alireza Pourreza, Reza John Ehsani
  • METHOD FOR HUANGLONGBING (HLB) DETECTION
    Publication number: 20170131200
    Abstract: A sensing system identifies Huanglongbing (HLB) symptoms in leaves of citrus trees in real time and differentiates them from nutrient deficiencies.
    Type: Application
    Filed: June 15, 2015
    Publication date: May 11, 2017
    Inventors: Eran RAVEH, Won Suk LEE, Alireza POURREZA, Reza John ESHANI